In machine learning, a neural network is a model inspired by the structure and function of biological neural networks in animal brains. An artificial neural ...

Types of artificial neural... · Artificial neuron · Activation function · Biology

A neural network is a group of interconnected units called neurons that send signals to one another. Neurons can be either biological cells or mathematical ...

Neural network (machine... · Neural network (disambiguation) · Biology · Software

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from ...

Outline of machine learning · Timeline · Neural network (machine... · Data mining

Convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns feature engineering by itself via filters (or kernel) ...

Feedforward neural net · Computer vision · Tensor (machine learning) · LeNet

Artificial neural networks (ANNs) are models created using machine learning to perform a number of tasks. Their creation was inspired by neural circuitry.

Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of ...

Comparison · Feature learning · Transformer architecture · Deep belief network

The machine learning-based attention method simulates how human attention works by assigning varying levels of importance to different words in a sentence.